Data Engineer (Hybrid)

Are you passionate about building reliable data solutions that drive business decisions? We are seeking an experienced Data Engineer to join our technical team and play a critical role in managing, integrating, and optimizing data that supports key business operations.

In this role, you will leverage your expertise in ETL processes, SQL, business intelligence platforms, and digital marketing technologies to ensure high-quality data is available for analysis, reporting, and business growth. You will work closely with business partners and fellow data engineers to support data warehouse operations, troubleshoot applications, and enhance data integration processes across multiple systems.

What You Will Do:

• Design, execute, and support data engineering solutions using ETL technologies, SQL, and business intelligence platforms.
• Load, manage, validate, and perform quality assurance activities on data from AAA clubs and third-party sources.
• Maintain and enhance data pipelines that support the organization's data warehouse environment.
• Analyze, troubleshoot, and optimize BI and digital marketing applications to ensure data accuracy and system performance.
• Collaborate with a team of data engineers to support business initiatives and data-driven decision-making.
• Configure, integrate, and maintain business intelligence and digital marketing platforms.
• Create, execute, troubleshoot, and improve ETL processes using data from multiple sources.
• Utilize Microsoft SQL Server to manage, manipulate, and optimize data storage and retrieval activities.
• Investigate and resolve relational database issues using SQL and graphical administration tools.
• Support workflow automation initiatives that improve operational efficiency and data processing.
• Contribute to system administration activities that support the stability and performance of the data environment.

What You Will Need:

• Bachelor’s degree in computer science or related field and
  Eight (8) to twelve (12) years’ applicable experience, or
  Master’s degree in computer science or related field, and
  Four (4) to Seven (7) years’ applicable experience.
• Strong experience with ETL development, data integration, and data quality processes.
• Hands-on experience supporting and troubleshooting business intelligence and digital marketing applications.
• Proficiency with BI and digital marketing platforms such as Hive, Tableau, and Salesforce.
• Experience with ETL tools such as Redpoint, Informatica, or similar technologies.
• Advanced knowledge of Microsoft SQL Server, including DDL and DML operations.
• Experience using cloud-based data warehousing platforms such as Snowflake and migrating data from legacy systems is highly desired
• Strong troubleshooting skills related to relational databases and data integration processes.
• Experience using workflow automation tools.
• Ability to analyze, configure, integrate, and support complex data-driven applications.

Preferred Qualifications:

• Experience with system administration responsibilities.
• Familiarity with cloud-based data warehouse environments.
• Experience with workflow automation platforms such as Automate BPA or similar tools.

Compensation

Hiring Range: $90,000 - $115,000

This position is also eligible for participation in AAA, Inc.'s Annual Incentive Plan.

AAA, Inc. is committed to paying competitively and equitably. The posted range for this position represents competitive compensation based on market data, internal equity, and the skills and requirements of the position. The compensation offered will depend on your qualifications and experience.

AAA, Inc. is not accepting unsolicited assistance from any search firms for this employment opportunity. All resumes submitted by search firms to any employee working at AAA, Inc., either by email, the Internet, or in any form and method, without a valid written Statement of Work in place for this position from AAA, Inc. will be deemed the sole property of AAA, Inc. No fee will be paid if AAA, Inc. hires the candidate due to the referral or through other means.